Software Development
Scaling AI-assisted development in enterprise: from code generation to engineering discipline
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools int...
// author
Pavlo Zadorozhna
Digital Practices Editor
Digital Practices Editor at e-datacom.com.ua. Prepares explanatory and analytical coverage of даних та інформаційних систем: управління даними, інтеграції й цифрових архівів.
Software Development
Integrating AI/ML into products: From prototype to production
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE,...
Software Development
DevOps and CI/CD: accelerating enterprise time-to-market safely
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets...
Software Development
Managing technical debt and code quality in enterprise systems
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standa...
Software Development
Pragmatic architecture for enterprise systems: avoiding distributed monoliths
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches ...
Software Development
Platform engineering and IDP: accelerating development teams
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, red...
Software Development
Hybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline...
Software Development
From MVP to production-ready: architectural discipline
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the We...
Software Development
Custom development or off-the-shelf: when to build or buy
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and ...
Process Automation
AI agents in workflow: first-line processing and BPM future
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing ...
Process Automation
Process mining: visualizing real flows and shadow processes
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unaut...
Process Automation
Automation antipatterns: chaos, RPA, and AI risks
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implemen...